Katharina Prasse

I'm a PhD student at the Data and Web Science Group at the University of Mannheim in Germany. I am supervised by Prof. Dr.-Ing. Margret Keuper Prior to this, I have been a researcher at the University of Siegen I have completed my master degree in Data Science at the University of Mannheim. For my Bachelor's degree, I have studied at the University College Roosevelt in the Netherlands. I have completed a liberal arts and science programm with majors in Psychology and Economics, and a minor in Statistics.

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Research

I'm interested in computer vision for real-world applications and explainable AI. I enjoy combining my research with my passion, i.e. climate change and bicycle infrastructure projects.

A data-efficient approach for training visual concept bottleneck models that requires fewer labeled concept annotations while maintaining interpretability.
* equal contribution

Applying minimum cost multicut to analyze visual frames in social media datasets, studying how climate change is depicted in online visual content.

Analyzing how different visual frames of climate change imagery on Twitter/X affect emotional responses and user engagement across global audiences.

A systematic literature review of how climate change is visualized across media, identifying challenges and future research directions at the intersection of visual communication and computer vision.

Incorporating local spherical harmonics representations into skeleton-based action recognition improves performance on fine-grained hand gesture classification tasks.

A curated social media dataset for studying how people perceive and communicate climate change visually, supporting interdisciplinary research in climate communication and computer vision.

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